{"pageNumber":"596","pageRowStart":"14875","pageSize":"25","recordCount":40833,"records":[{"id":70074728,"text":"ofr20141009 - 2014 - Statistical analysis of the water-quality monitoring program, Upper Klamath Lake, Oregon, and optimization of the program for 2013 and beyond","interactions":[],"lastModifiedDate":"2014-07-01T15:06:20","indexId":"ofr20141009","displayToPublicDate":"2014-07-01T08:35:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1009","title":"Statistical analysis of the water-quality monitoring program, Upper Klamath Lake, Oregon, and optimization of the program for 2013 and beyond","docAbstract":"<p>Upper Klamath Lake in south-central Oregon has become increasingly eutrophic over the past century and now experiences seasonal cyanobacteria-dominated and potentially toxic phytoplankton blooms. Growth and decline of these blooms create poor water-quality conditions that can be detrimental to fish, including two resident endangered sucker species. Upper Klamath Lake is the primary water supply to agricultural areas within the upper Klamath Basin. Water from the lake is also used to generate power and to enhance and sustain downstream flows in the Klamath River.</p>\n<br/>\n<p>Water quality in Upper Klamath Lake has been monitored by the Klamath Tribes since the early 1990s and by the U.S. Geological Survey (USGS) since 2002. Management agencies and other stakeholders have determined that a re-evaluation of the goals for water-quality monitoring is warranted to assess whether current data-collection activities will continue to adequately provide data for researchers to address questions of interest and to facilitate future natural resource management decisions. The purpose of this study was to (1) compile an updated list of the goals and objectives for long-term water-quality monitoring in Upper Klamath Lake with input from upper Klamath Basin stakeholders, (2) assess the current water-quality monitoring programs in Upper Klamath Lake to determine whether existing data-collection strategies can fulfill the updated goals and objectives for monitoring, and (3) identify potential modifications to future monitoring plans in accordance with the updated monitoring objectives and improve stakeholder cooperation and data-collection efficiency.</p>\n<br/>\n<p>Data collected by the Klamath Tribes and the USGS were evaluated to determine whether consistent long-term trends in water-quality variables can be described by the dataset and whether the number and distribution of currently monitored sites captures the full range of environmental conditions and the multi-scale variability of water-quality parameters in the lake. Also, current monitoring strategies were scrutinized for unnecessary redundancy within the overall network.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141009","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Eldridge, S.L., Wherry, S., and Wood, T.M., 2014, Statistical analysis of the water-quality monitoring program, Upper Klamath Lake, Oregon, and optimization of the program for 2013 and beyond: U.S. Geological Survey Open-File Report 2014-1009, Report: vi, 82 p.; Appendix, https://doi.org/10.3133/ofr20141009.","productDescription":"Report: vi, 82 p.; Appendix","numberOfPages":"92","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049748","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":289286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141009.jpg"},{"id":289271,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1009/"},{"id":289284,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1009/pdf/ofr2014-1009.pdf"},{"id":289285,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1009/downloads/ofr2014-1009_appendix.xlsx"}],"projection":"Universal Transverse Mercator, Zone 10N","datum":"North American Datum of 1927","country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Basin;Upper Klamath Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.2,42.08 ], [ -122.2,42.625 ], [ -121.6,42.625 ], [ -121.6,42.08 ], [ -122.2,42.08 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b3ca55e4b07c5f79a7f31f","contributors":{"authors":[{"text":"Eldridge, Sara L. Caldwell 0000-0001-8838-8940","orcid":"https://orcid.org/0000-0001-8838-8940","contributorId":26199,"corporation":false,"usgs":true,"family":"Eldridge","given":"Sara","email":"","middleInitial":"L. Caldwell","affiliations":[],"preferred":false,"id":489758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wherry, Susan A.","contributorId":79403,"corporation":false,"usgs":true,"family":"Wherry","given":"Susan A.","affiliations":[],"preferred":false,"id":489759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Tamara M. 0000-0001-6057-8080 tmwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6057-8080","contributorId":1164,"corporation":false,"usgs":true,"family":"Wood","given":"Tamara","email":"tmwood@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489757,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70101061,"text":"70101061 - 2014 - Effects of environmental amenities and locational disamenities on home values in the Santa Cruz watershed: a hedonic analysis using census data","interactions":[],"lastModifiedDate":"2014-07-03T11:36:46","indexId":"70101061","displayToPublicDate":"2014-07-01T07:43:00","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Effects of environmental amenities and locational disamenities on home values in the Santa Cruz watershed: a hedonic analysis using census data","docAbstract":"<p>For this study, we used the hedonic pricing method to measure the effects of natural amenities on home prices in the U.S-side of the Santa Cruz Watershed.  We employed multivariate spatial regression techniques to estimate how difference factors affect median home values in 613 census block groups of the 2000 Census, accounting for spatial autocorrelation, spatial lags, and/or spatial heterogeneity in the data.  Diagnostic tests suggest that failure to account for the hedonic model can be classified as (1) physical features of the housing stock, (2) neighborhood characteristics, and (3) environmental attributes.  Census data was combined with GIS data for vegetation and land cover, land administration, measures of species richness and open space, and proximity to amenities and disamenities.  Census block groups close to the US-Mexico border of airports/air bases were negative.  Results suggest that policies to maintain biodiversity and open space provide economic benefits to homeowners, reflected in higher home values.  Future research will quantify the marginal effects of regression explanatory variables on home values to assess their economic and policy significant.  These marginal effects will be used as input indicators to discern potential economic impacts of various scenarios in the Santa Cruz Watershed Ecosystem Portfolio Model (SCWEPM).  Future research will also expand this effort into the Mexican-portion of the watershed.</p>","largerWorkTitle":"Santa Cruz River Researchers� Day 2012","conferenceTitle":"Santa Cruz River Researchers' Day 2012 - <i>4th Annual</i>","conferenceDate":"2012-03-29T00:00:00","conferenceLocation":"Tucson, AZ","language":"English","publisher":"The Sonoran Institute","publisherLocation":"Tucson, AZ","usgsCitation":"Arora, G., Frisvold, G., and Norman, L., 2014, Effects of environmental amenities and locational disamenities on home values in the Santa Cruz watershed: a hedonic analysis using census data, 18 p.","productDescription":"18 p.","numberOfPages":"18","ipdsId":"IP-039103","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":289426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","county":"Santa Cruz County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.36689,31.332177 ], [ -111.36689,31.731819 ], [ -110.45172,31.731819 ], [ -110.45172,31.332177 ], [ -111.36689,31.332177 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b67b6ee4b014fc094d5462","contributors":{"authors":[{"text":"Arora, Gaurav","contributorId":81020,"corporation":false,"usgs":true,"family":"Arora","given":"Gaurav","email":"","affiliations":[],"preferred":false,"id":492574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frisvold, George","contributorId":9569,"corporation":false,"usgs":true,"family":"Frisvold","given":"George","email":"","affiliations":[],"preferred":false,"id":492573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norman, Laura","contributorId":90382,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","affiliations":[],"preferred":false,"id":492575,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70161754,"text":"70161754 - 2014 -  U.S. Geological Survey's ShakeCast: A cloud-based future","interactions":[],"lastModifiedDate":"2017-04-17T14:41:49","indexId":"70161754","displayToPublicDate":"2014-07-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":" U.S. Geological Survey's ShakeCast: A cloud-based future","docAbstract":"When an earthquake occurs, the U. S. Geological Survey (USGS) ShakeMap \nportrays the extent of potentially damaging shaking. In turn, the ShakeCast \nsystem, a freely-available, post-earthquake situational awareness application, \nautomatically retrieves earthquake shaking data from ShakeMap, compares\n intensity measures against users’ facilities, sends notifications of potential\n damage to responsible parties, and generates facility damage assessment \nmaps and other web-based products for emergency managers and responders. \nShakeCast is particularly suitable for earthquake planning and response purposes \nby Departments of Transportation (DOTs), critical facility and lifeline utilities, \nlarge businesses, engineering and financial services, and loss and risk modelers. \nRecent important developments to the ShakeCast system and its user base are \ndescribed. The newly-released Version 3 of the ShakeCast system encompasses \nadvancements in seismology, earthquake engineering, and information\n technology applicable to the legacy ShakeCast installation (Version 2). In\n particular, this upgrade includes a full statistical fragility analysis framework for \ngeneral assessment of structures as part of the near real-time system, direct \naccess to additional earthquake-specific USGS products besides ShakeMap \n(PAGER, DYFI?, tectonic summary, etc.), significant improvements in the \ngraphical user interface, including a console view for operations centers, and\n custom, user-defined hazard and loss modules. The release also introduces a \nnew adaption option to port ShakeCast to the \"cloud\". Employing Amazon \nWeb Services (AWS), users now have a low-cost alternative to local hosting,\n by fully offloading hardware, software, and communication obligations to the\n cloud. Other advantages of the \"ShakeCast Cloud\" strategy include (1) \nReliability and robustness of offsite operations, (2) Scalability naturally \naccommodated, (3), Serviceability, problems reduced due to software and \nhardware uniformity, (4) Testability, freely available for new users, (5) Remotely\n supported, allowing expert-facilitated maintenance, (6) Adoptability, \nsimplified with disk images, and (7) Security, built in at the very high level\n associated with AWS. The ShakeCast user base continues to expand and \nbroaden. For example, Caltrans, the prototypical ShakeCast user and\n development supporter, has been providing guidance to other DOTs on the \nuse of the National Bridge Inventory (NBI) database to implement\n fully-functional ShakeCast systems in their states. A long-term goal underway\n is to further \"connect the DOTs\" via a Transportation Pooled Fund (TPF) with \nparticipating state DOTs. We also review some of the many other users and \nuses of ShakeCast. Lastly, on the hazard input front, we detail related \nShakeMap improvements and ongoing advancements in estimating the \nlikelihood of shaking-induced secondary hazards at structures, facilities, \nbridges, and along roadways due to landslides and liquefaction, and\n implemented within the ShakeCast framework.","language":"English","publisher":"Network for Earthquake Engineering Simulation","doi":"10.4231/D32Z12Q20","usgsCitation":"Wald, D.J., Lin, K., Turner, L., and Bekiri, N., 2014,  U.S. Geological Survey's ShakeCast: A cloud-based future, 11 p., https://doi.org/10.4231/D32Z12Q20.","productDescription":"11 p.","ipdsId":"IP-055124","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":339813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f5d443e4b0f2e20545e427","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":587668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lin, Kuo-Wan klin@usgs.gov","contributorId":152049,"corporation":false,"usgs":true,"family":"Lin","given":"Kuo-Wan","email":"klin@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":587669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Loren","contributorId":26408,"corporation":false,"usgs":true,"family":"Turner","given":"Loren","email":"","affiliations":[],"preferred":false,"id":587670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bekiri, Nebi","contributorId":152050,"corporation":false,"usgs":false,"family":"Bekiri","given":"Nebi","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":587671,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70185703,"text":"70185703 - 2014 - Snowfall less sensitive to warming in Karakoram than in Himalayas due to a unique seasonal cycle","interactions":[],"lastModifiedDate":"2017-03-28T10:09:07","indexId":"70185703","displayToPublicDate":"2014-07-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Snowfall less sensitive to warming in Karakoram than in Himalayas due to a unique seasonal cycle","docAbstract":"<p><span>The high mountains of Asia, including the Karakoram, Himalayas and Tibetan Plateau, combine to form a region of perplexing hydroclimate changes. Glaciers have exhibited mass stability or even expansion in the Karakoram region</span><sup><a id=\"ref-link-1\" title=\"Bolch, T. et al. The state and fate of Himalayan glaciers. Science 366, 310-314 (2012).\" href=\"http://www.nature.com/ngeo/journal/v7/n11/full/ngeo2269.html#ref1\" data-mce-href=\"http://www.nature.com/ngeo/journal/v7/n11/full/ngeo2269.html#ref1\">1</a>, <a id=\"ref-link-2\" title=\"Hewitt, K. The Karakoram anomaly? Glacier expansion and the /`elevation effect,/' Karakoram Himalaya. Mt. Res. Dev. 25, 332-340 (2005).\" href=\"http://www.nature.com/ngeo/journal/v7/n11/full/ngeo2269.html#ref2\" data-mce-href=\"http://www.nature.com/ngeo/journal/v7/n11/full/ngeo2269.html#ref2\">2</a>, <a id=\"ref-link-3\" title=\"Gardelle, J., Berthier, E. &amp; Arnaud, Y. Slight mass gain of Karakoram glaciers in the early twenty-first century. Nature Geosci. 5, 322-325 (2012).\" href=\"http://www.nature.com/ngeo/journal/v7/n11/full/ngeo2269.html#ref3\" data-mce-href=\"http://www.nature.com/ngeo/journal/v7/n11/full/ngeo2269.html#ref3\">3</a></sup><span>, contrasting with glacial mass loss across the nearby Himalayas and Tibetan Plateau</span><sup><a id=\"ref-link-4\" title=\"Bolch, T. et al. The state and fate of Himalayan glaciers. Science 366, 310-314 (2012).\" href=\"http://www.nature.com/ngeo/journal/v7/n11/full/ngeo2269.html#ref1\" data-mce-href=\"http://www.nature.com/ngeo/journal/v7/n11/full/ngeo2269.html#ref1\">1</a>, <a id=\"ref-link-5\" title=\"Kang, S. et al. Review of climate and cryospheric change in the Tibetan Plateau. Environ. Res. Lett. 5, 015101 (2010).\" href=\"http://www.nature.com/ngeo/journal/v7/n11/full/ngeo2269.html#ref4\" data-mce-href=\"http://www.nature.com/ngeo/journal/v7/n11/full/ngeo2269.html#ref4\">4</a></sup><span>, a pattern that has been termed the Karakoram anomaly. However, the remote location, complex terrain and multi-country fabric of high-mountain Asia have made it difficult to maintain longer-term monitoring systems of the meteorological components that may have influenced glacial change. Here we compare a set of high-resolution climate model simulations from 1861 to 2100 with the latest available observations to focus on the distinct seasonal cycles and resulting climate change signatures of Asia’s high-mountain ranges. We find that the Karakoram seasonal cycle is dominated by non-monsoonal winter precipitation, which uniquely protects it from reductions in annual snowfall under climate warming over the twenty-first century. The simulations show that climate change signals are detectable only with long and continuous records, and at specific elevations. Our findings suggest a meteorological mechanism for regional differences in the glacier response to climate&nbsp;warming.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/ngeo2269","usgsCitation":"Kapnick, S.B., Delworth, T.L., Ashfaq, M., Malyshev, S., and Milly, P., 2014, Snowfall less sensitive to warming in Karakoram than in Himalayas due to a unique seasonal cycle: Nature Geoscience, v. 7, p. 834-840, https://doi.org/10.1038/ngeo2269.","productDescription":"7 p.","startPage":"834","endPage":"840","ipdsId":"IP-057644","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":338443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-12","publicationStatus":"PW","scienceBaseUri":"58db7631e4b0ee37af29e4a2","contributors":{"authors":[{"text":"Kapnick, Sarah B.","contributorId":189908,"corporation":false,"usgs":false,"family":"Kapnick","given":"Sarah","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":686454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Delworth, Thomas L.","contributorId":189909,"corporation":false,"usgs":false,"family":"Delworth","given":"Thomas","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":686455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ashfaq, Moetasim","contributorId":189910,"corporation":false,"usgs":false,"family":"Ashfaq","given":"Moetasim","email":"","affiliations":[],"preferred":false,"id":686456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malyshev, Sergey","contributorId":189177,"corporation":false,"usgs":false,"family":"Malyshev","given":"Sergey","affiliations":[],"preferred":false,"id":686457,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":686453,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70140690,"text":"70140690 - 2014 - Prolactin and teleost ionocytes: new insights into cellular and molecular targets of prolactin in vertebrate epithelia","interactions":[],"lastModifiedDate":"2015-02-10T11:46:50","indexId":"70140690","displayToPublicDate":"2014-07-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1738,"text":"General and Comparative Endocrinology","active":true,"publicationSubtype":{"id":10}},"title":"Prolactin and teleost ionocytes: new insights into cellular and molecular targets of prolactin in vertebrate epithelia","docAbstract":"<p><span>The&nbsp;</span>peptide hormone<span>&nbsp;</span>prolactin<span>&nbsp;is a functionally versatile hormone produced by the vertebrate&nbsp;</span>pituitary<span>. Comparative studies over the last six decades have revealed that a conserved function for prolactin across vertebrates is the regulation of ion and water transport in a variety of tissues including those responsible for whole-organism ion homeostasis. In teleost fishes, prolactin was identified as the &ldquo;freshwater-adapting hormone&rdquo;, promoting ion-conserving and water-secreting processes by acting on the gill, kidney, gut and urinary bladder. In mammals,&nbsp;</span>prolactin<span>&nbsp;is known to regulate renal, intestinal, mammary and amniotic epithelia, with dysfunction linked to hypogonadism, infertility, and metabolic disorders. Until recently, our understanding of the cellular mechanisms of prolactin action in fishes has been hampered by a paucity of molecular tools to define and study ionocytes, specialized cells that control active ion transport across branchial and epidermal epithelia. Here we review work in teleost models indicating that prolactin regulates ion balance through action on ion transporters, tight-junction proteins, and water channels in ionocytes, and discuss recent advances in our understanding of ionocyte function in the genetically and embryonically accessible zebrafish (</span><i>Danio rerio</i><span>). Given the high degree of evolutionary conservation in&nbsp;</span>endocrine<span>&nbsp;and osmoregulatory systems, these studies in teleost models are contributing novel mechanistic insight into how&nbsp;</span>prolactin<span>&nbsp;participates in the development, function, and dysfunction of osmoregulatory systems across the vertebrate lineage.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ygcen.2013.12.014","usgsCitation":"Breves, J.P., McCormick, S., and Karlstrom, R.O., 2014, Prolactin and teleost ionocytes: new insights into cellular and molecular targets of prolactin in vertebrate epithelia: General and Comparative Endocrinology, v. 203, p. 21-28, https://doi.org/10.1016/j.ygcen.2013.12.014.","productDescription":"8 p.","startPage":"21","endPage":"28","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053276","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":472911,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4096611","text":"External Repository"},{"id":297891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"203","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2c2ee4b08de9379b3694","contributors":{"authors":[{"text":"Breves, Jason P.","contributorId":6349,"corporation":false,"usgs":false,"family":"Breves","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":540322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":2197,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen D.","email":"smccormick@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":540323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karlstrom, Rolf O.","contributorId":42502,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Rolf","email":"","middleInitial":"O.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":540324,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70129405,"text":"70129405 - 2014 - Engineering uses of physics-based ground motion simulations","interactions":[],"lastModifiedDate":"2017-06-30T13:52:36","indexId":"70129405","displayToPublicDate":"2014-07-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Engineering uses of physics-based ground motion simulations","docAbstract":"<p>This paper summarizes validation methodologies focused on enabling ground motion simulations to be used with confidence in engineering applications such as seismic hazard analysis and dynmaic analysis of structural and geotechnical systems. Numberical simullation of ground motion from large erthquakes, utilizing physics-based models of earthquake rupture and wave propagation, is an area of active research in the earth science community. Refinement and validatoin of these models require collaboration between earthquake scientists and engineering users, and testing/rating methodolgies for simulated ground motions to be used with confidence in engineering applications. This paper provides an introduction to this field and an overview of current research activities being coordinated by the Souther California Earthquake Center (SCEC). These activities are related both to advancing the science and computational infrastructure needed to produce ground motion simulations, as well as to engineering validation procedures. Current research areas and anticipated future achievements are also discussed.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 10th National Conference in Earthquake Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"10th National Conference in Earthquake Engineering","conferenceDate":"July 21-25, 2014","conferenceLocation":"Anchorage, AK","language":"English","publisher":"Earthquake Engineering Research Institute","publisherLocation":"Anchorage, AK","usgsCitation":"Baker, J.W., Luco, N., Abrahamson, N.A., Graves, R.W., Maechling, P.J., and Olsen, K., 2014, Engineering uses of physics-based ground motion simulations, <i>in</i> Proceedings of the 10th National Conference in Earthquake Engineering, Anchorage, AK, July 21-25, 2014, 11 p.","productDescription":"11 p.","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055616","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":296473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5482e546e4b0aa6d77853004","contributors":{"authors":[{"text":"Baker, Jack W.","contributorId":115861,"corporation":false,"usgs":false,"family":"Baker","given":"Jack","email":"","middleInitial":"W.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":519868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luco, Nicolas 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":1188,"corporation":false,"usgs":true,"family":"Luco","given":"Nicolas","email":"nluco@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":519865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abrahamson, Norman A.","contributorId":115451,"corporation":false,"usgs":false,"family":"Abrahamson","given":"Norman","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":519867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graves, Robert W. rwgraves@usgs.gov","contributorId":3149,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","middleInitial":"W.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":519866,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maechling, Phillip J.","contributorId":117072,"corporation":false,"usgs":false,"family":"Maechling","given":"Phillip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":519869,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Olsen, Kim","contributorId":117549,"corporation":false,"usgs":false,"family":"Olsen","given":"Kim","email":"","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":519870,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70155928,"text":"70155928 - 2014 - Steady incision of Grand Canyon at the million year timeframe: A case for mantle-driven differential uplift","interactions":[],"lastModifiedDate":"2022-11-15T16:52:08.479835","indexId":"70155928","displayToPublicDate":"2014-07-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Steady incision of Grand Canyon at the million year timeframe: A case for mantle-driven differential uplift","docAbstract":"<p><span>The Grand Canyon region provides an excellent laboratory to examine the interplay between river incision,&nbsp;magmatism, and the geomorphic and tectonic processes that shape landscapes. Here we apply U-series, Ar–Ar, and cosmogenic burial dating of&nbsp;</span>river terraces<span>&nbsp;to examine spatial variations in incision rates along the 445 km length of the Colorado River through Grand Canyon. We also analyze strath terrace sequences that extend to heights of several hundred meters above the river, and integrate these with&nbsp;speleothem&nbsp;constrained maximum incision rates in several reaches to examine any temporal incision variations at the million-year time frame. This new high-resolution&nbsp;geochronology&nbsp;shows temporally steady long-term incision in any given reach of Grand Canyon but significant variations along its length from 160 m/Ma in the east to 101 m/Ma in the west. Spatial and temporal patterns of incision, and the long timescale of steady incision rule out models where geomorphic controls such as&nbsp;climate oscillations,&nbsp;bedrock&nbsp;strength, sediment load effects, or isostatic response to differential&nbsp;denudation&nbsp;are the first order drivers of canyon incision. The incision pattern is best explained by a model of&nbsp;Neogene&nbsp;and ongoing epeirogenic uplift due to an eastward propagating zone of increased&nbsp;upper mantle&nbsp;buoyancy that we infer from propagation of Neogene basaltic&nbsp;volcanism&nbsp;and a strong lateral gradient in modern upper mantle seismic structure.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2014.04.020","usgsCitation":"Crow, R.S., Karlstrom, K., Darling, A., Crossey, L., Polyak, V., Granger, D.E., Asmerom, Y., and Schmandt, B., 2014, Steady incision of Grand Canyon at the million year timeframe: A case for mantle-driven differential uplift: Earth and Planetary Science Letters, v. 397, p. 159-173, https://doi.org/10.1016/j.epsl.2014.04.020.","productDescription":"15 p.","startPage":"159","endPage":"173","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066671","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":306658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.59379497680267,\n              36.6929399332291\n            ],\n            [\n              -111.94676561696494,\n              36.740664983905035\n            ],\n            [\n              -112.04882941653004,\n              36.47781060258208\n            ],\n            [\n              -112.81430791326767,\n              36.62470987367253\n            ],\n            [\n              -113.36290083592937,\n              36.47781060258208\n            ],\n            [\n              -113.75839805924363,\n           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rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":566931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karlstrom, Karl","contributorId":146274,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","affiliations":[{"id":16657,"text":"Prof. UNM","active":true,"usgs":false}],"preferred":false,"id":566932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Darling, Andrew","contributorId":146280,"corporation":false,"usgs":false,"family":"Darling","given":"Andrew","affiliations":[{"id":12431,"text":"ASU","active":true,"usgs":false}],"preferred":false,"id":566938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crossey, Laura","contributorId":146275,"corporation":false,"usgs":false,"family":"Crossey","given":"Laura","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":566933,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Polyak, Victor","contributorId":146279,"corporation":false,"usgs":false,"family":"Polyak","given":"Victor","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":566937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Granger, Darryl E.","contributorId":191610,"corporation":false,"usgs":false,"family":"Granger","given":"Darryl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":857042,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Asmerom, Yemane","contributorId":295388,"corporation":false,"usgs":false,"family":"Asmerom","given":"Yemane","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":857043,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schmandt, Brandon","contributorId":202750,"corporation":false,"usgs":false,"family":"Schmandt","given":"Brandon","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":857044,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70187381,"text":"70187381 - 2014 - Fishing for Northern Pike in Minnesota: A comparison of anglers and dark house spearers","interactions":[],"lastModifiedDate":"2017-05-01T11:15:03","indexId":"70187381","displayToPublicDate":"2014-07-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Fishing for Northern Pike in Minnesota: A comparison of anglers and dark house spearers","docAbstract":"<p><span>In order to project fishing effort and demand of individuals targeting Northern Pike </span><i>Esox lucius</i><span> in Minnesota, it is important to understand the catch orientations, management preferences, and site choice preferences of those individuals. Northern Pike are specifically targeted by about 35% of the approximately 1.5 million licensed anglers in Minnesota and by approximately 14,000–15,000 dark house spearers. Dark house spearing is a traditional method of harvesting fish through the ice in winter. Mail surveys were distributed to three research strata: anglers targeting Northern Pike, dark house spearing license holders spearing Northern Pike, and dark house spearing license holders angling for Northern Pike. Dark house spearers, whether spearing or angling, reported a stronger orientation toward keeping Northern Pike than did anglers. Anglers reported a stronger orientation toward catching large Northern Pike than did dark house spearers when spearing or angling. Northern Pike regulations were the most important attribute affecting site choice for respondents in all three strata. Models for all strata indicated a preference for lakes without protected slot limits. However, protected slot limits had a stronger negative influence on lake preference for dark house spearing licensees (whether spearing or angling) than for anglers.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2014.910573","usgsCitation":"Schroeder, S., and Fulton, D.C., 2014, Fishing for Northern Pike in Minnesota: A comparison of anglers and dark house spearers: North American Journal of Fisheries Management, v. 34, no. 3, p. 678-691, https://doi.org/10.1080/02755947.2014.910573.","productDescription":"14 p.","startPage":"678","endPage":"691","ipdsId":"IP-049321","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70174907,"text":"70174907 - 2014 - Collaborative socioeconomic tool development to address management and planning needs","interactions":[],"lastModifiedDate":"2016-07-21T08:48:55","indexId":"70174907","displayToPublicDate":"2014-07-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1809,"text":"George Wright Society Forum","active":true,"publicationSubtype":{"id":10}},"title":"Collaborative socioeconomic tool development to address management and planning needs","docAbstract":"<p>Public lands and resources managed by the National Park Service (NPS) and other land management agencies provide a wide range of social and economic benefits to both nearby local communities and society as a whole, ranging from job creation, to access to unique recreational opportunities, to subsistence and tribal uses of the land. Over the years, there has been an increased need to identify and analyze the socioeconomic effects of the public&rsquo;s use of NPS lands and resources, and the wide range of NPS land management decisions. This need stems from laws such as the National Environmental Policy Act (NEPA), increased litigation and appeals on NPS management decisions, as well as an overall need to demonstrate how parks benefit communities and the American public. To address these needs, the U.S. Geological Survey (USGS) and NPS have an ongoing partnership to collaboratively develop socioeconomic tools to support planning needs and resource management. This article discusses two such tools. The first, Assessing Socioeconomic Planning Needs (ASPN), was developed to help NPS planners and managers identify key social and economic issues that can arise as a result of land management actions. The second tool, the Visitor Spending Effects (VSE) model, provides a specific example of a type of analysis that may be recommended by ASPN. The remainder of this article discusses the development, main features, and plans for future versions and applications of both ASPN and the VSE.</p>","language":"English","publisher":"George Wright Society","usgsCitation":"Richardson, L.A., Huber, C., Cullinane Thomas, C., Donovan, E., and Koontz, L.M., 2014, Collaborative socioeconomic tool development to address management and planning needs: George Wright Society Forum, v. 31, no. 2, p. 205-214.","productDescription":"10 p.","startPage":"205","endPage":"214","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056753","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":325494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325491,"type":{"id":15,"text":"Index Page"},"url":"https://www.georgewright.org/node/10198"}],"volume":"31","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5791f22ce4b0a1ebd3ad4c74","contributors":{"authors":[{"text":"Richardson, Leslie A. lrichardson@usgs.gov","contributorId":4810,"corporation":false,"usgs":true,"family":"Richardson","given":"Leslie","email":"lrichardson@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":643098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huber, Christopher 0000-0001-8446-8134 chuber@usgs.gov","orcid":"https://orcid.org/0000-0001-8446-8134","contributorId":127600,"corporation":false,"usgs":true,"family":"Huber","given":"Christopher","email":"chuber@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":643099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cullinane Thomas, Catherine 0000-0001-8168-1271 ccullinanethomas@usgs.gov","orcid":"https://orcid.org/0000-0001-8168-1271","contributorId":141097,"corporation":false,"usgs":true,"family":"Cullinane Thomas","given":"Catherine","email":"ccullinanethomas@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":643100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donovan, Elizabeth edonovan@usgs.gov","contributorId":5179,"corporation":false,"usgs":true,"family":"Donovan","given":"Elizabeth","email":"edonovan@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":643101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koontz, Lynne M.","contributorId":26167,"corporation":false,"usgs":true,"family":"Koontz","given":"Lynne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":643102,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189779,"text":"70189779 - 2014 - Slip rates and spatially variable creep on faults of the northern San Andreas system inferred through Bayesian inversion of Global Positioning System data","interactions":[],"lastModifiedDate":"2017-07-26T11:16:12","indexId":"70189779","displayToPublicDate":"2014-07-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Slip rates and spatially variable creep on faults of the northern San Andreas system inferred through Bayesian inversion of Global Positioning System data","docAbstract":"<p><span>Fault creep, depending on its rate and spatial extent, is thought to reduce earthquake hazard by releasing tectonic strain aseismically. We use Bayesian inversion and a newly expanded GPS data set to infer the deep slip rates below assigned locking depths on the San Andreas, Maacama, and Bartlett Springs Faults of Northern California and, for the latter two, the spatially variable interseismic creep rate above the locking depth. We estimate deep slip rates of 21.5 ± 0.5, 13.1 ± 0.8, and 7.5 ± 0.7 mm/yr below 16 km, 9 km, and 13 km on the San Andreas, Maacama, and Bartlett Springs Faults, respectively. We infer that on average the Bartlett Springs fault creeps from the Earth's surface to 13 km depth, and below 5 km the creep rate approaches the deep slip rate. This implies that microseismicity may extend below the locking depth; however, we cannot rule out the presence of locked patches in the seismogenic zone that could generate moderate earthquakes. Our estimated Maacama creep rate, while comparable to the inferred deep slip rate at the Earth's surface, decreases with depth, implying a slip deficit exists. The Maacama deep slip rate estimate, 13.1 mm/yr, exceeds long-term geologic slip rate estimates, perhaps due to distributed off-fault strain or the presence of multiple active fault strands. While our creep rate estimates are relatively insensitive to choice of model locking depth, insufficient independent information regarding locking depths is a source of epistemic uncertainty that impacts deep slip rate estimates.</span></p>","language":"English","publisher":"Americal Geophysical Union","doi":"10.1002/2014JB010966","usgsCitation":"Murray, J.R., Minson, S., and Svarc, J.L., 2014, Slip rates and spatially variable creep on faults of the northern San Andreas system inferred through Bayesian inversion of Global Positioning System data: Journal of Geophysical Research B: Solid Earth, v. 119, no. 7, p. 6023-6047, https://doi.org/10.1002/2014JB010966.","productDescription":"25 p.","startPage":"6023","endPage":"6047","ipdsId":"IP-053849","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":472915,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20140911-075334731","text":"External Repository"},{"id":344324,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124,\n              37.5\n            ],\n            [\n              -121.5,\n              37.5\n            ],\n            [\n              -121.5,\n              40.25\n            ],\n            [\n              -124,\n              40.25\n            ],\n            [\n              -124,\n              37.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"119","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-21","publicationStatus":"PW","scienceBaseUri":"5979aa57e4b0ec1a488b8c30","contributors":{"authors":[{"text":"Murray, Jessica R. 0000-0002-6144-1681 jrmurray@usgs.gov","orcid":"https://orcid.org/0000-0002-6144-1681","contributorId":2759,"corporation":false,"usgs":true,"family":"Murray","given":"Jessica","email":"jrmurray@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":706321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minson, Sarah E.","contributorId":195132,"corporation":false,"usgs":false,"family":"Minson","given":"Sarah E.","affiliations":[],"preferred":false,"id":706322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Svarc, Jerry L. 0000-0002-2802-4528 jsvarc@usgs.gov","orcid":"https://orcid.org/0000-0002-2802-4528","contributorId":2413,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","email":"jsvarc@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":706323,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70114976,"text":"70114976 - 2014 - A framework for the probabilistic analysis of meteotsunamis","interactions":[],"lastModifiedDate":"2017-11-18T12:06:44","indexId":"70114976","displayToPublicDate":"2014-06-30T12:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"A framework for the probabilistic analysis of meteotsunamis","docAbstract":"A probabilistic technique is developed to assess the hazard from meteotsunamis. Meteotsunamis are unusual sea-level events, generated when the speed of an atmospheric pressure or wind disturbance is comparable to the phase speed of long waves in the ocean. A general aggregation equation is proposed for the probabilistic analysis, based on previous frameworks established for both tsunamis and storm surges, incorporating different sources and source parameters of meteotsunamis. Parameterization of atmospheric disturbances and numerical modeling is performed for the computation of maximum meteotsunami wave amplitudes near the coast. A historical record of pressure disturbances is used to establish a continuous analytic distribution of each parameter as well as the overall Poisson rate of occurrence. A demonstration study is presented for the northeast U.S. in which only isolated atmospheric pressure disturbances from squall lines and derechos are considered. For this study, Automated Surface Observing System stations are used to determine the historical parameters of squall lines from 2000 to 2013. The probabilistic equations are implemented using a Monte Carlo scheme, where a synthetic catalog of squall lines is compiled by sampling the parameter distributions. For each entry in the catalog, ocean wave amplitudes are computed using a numerical hydrodynamic model. Aggregation of the results from the Monte Carlo scheme results in a meteotsunami hazard curve that plots the annualized rate of exceedance with respect to maximum event amplitude for a particular location along the coast. Results from using multiple synthetic catalogs, resampled from the parent parameter distributions, yield mean and quantile hazard curves. Further refinements and improvements for probabilistic analysis of meteotsunamis are discussed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Hazards","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer Netherlands","doi":"10.1007/s11069-014-1294-1","usgsCitation":"Geist, E.L., ten Brink, U., and Gove, M., 2014, A framework for the probabilistic analysis of meteotsunamis: Natural Hazards, v. 74, no. 1, p. 123-142, https://doi.org/10.1007/s11069-014-1294-1.","productDescription":"20 p.","startPage":"123","endPage":"142","numberOfPages":"20","ipdsId":"IP-056612","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472918,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/6933","text":"External Repository"},{"id":289218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289215,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11069-014-1294-1"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.0,29.0 ], [ -78.0,43.5 ], [ -64.5,43.5 ], [ -64.5,29.0 ], [ -78.0,29.0 ] ] ] } } ] }","volume":"74","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-06-19","publicationStatus":"PW","scienceBaseUri":"53b278cfe4b07b8813a55455","contributors":{"authors":[{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":495453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gove, Matthew D.","contributorId":17535,"corporation":false,"usgs":true,"family":"Gove","given":"Matthew D.","affiliations":[],"preferred":false,"id":495452,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70095530,"text":"ofr20141045 - 2014 - Scenario earthquake hazards for the Long Valley Caldera-Mono Lake area, east-central California (ver. 2.0, January 2018)","interactions":[],"lastModifiedDate":"2019-03-05T08:58:37","indexId":"ofr20141045","displayToPublicDate":"2014-06-30T11:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1045","title":"Scenario earthquake hazards for the Long Valley Caldera-Mono Lake area, east-central California (ver. 2.0, January 2018)","docAbstract":"<p>As part of the U.S. Geological Survey’s (USGS) multi-hazards project in the Long Valley Caldera-Mono Lake area, the California Geological Survey (CGS) developed several earthquake scenarios and evaluated potential seismic hazards, including ground shaking, surface fault rupture, liquefaction, and landslide hazards associated with these earthquake scenarios. The results of these analyses can be useful in estimating the extent of potential damage and economic losses because of potential earthquakes and also for preparing emergency response plans.</p><p>The Long Valley Caldera-Mono Lake area has numerous active faults. Five of these faults or fault zones are considered capable of producing magnitude ≥6.7 earthquakes according to the Uniform California Earthquake Rupture Forecast, Version 2 (UCERF 2) developed by the 2007 Working Group on California Earthquake Probabilities (WGCEP) and the USGS National Seismic Hazard Mapping Program. These five faults are the Fish Slough, Hartley Springs, Hilton Creek, Mono Lake, and Round Valley Faults. CGS developed earthquake scenarios for these five faults in the study area and for the White Mountains Fault Zone to the east of the study area.</p><p>In this report, an earthquake scenario is intended to depict the potential consequences of significant earthquakes. A scenario earthquake is not necessarily the largest or most damaging earthquake possible on a recognized fault. Rather it is both large enough and likely enough that emergency planners should consider it in regional emergency response plans. In particular, the ground motion predicted for a given scenario earthquake does not represent a full probabilistic hazard assessment, and thus it does not provide the basis for hazard zoning and earthquake-resistant building design.</p><p>Earthquake scenarios presented here are based on fault geometry and activity data developed by the WGCEP, and are consistent with the 2008 Update of the United States National Seismic Hazard Maps (NSHM). Alternatives to the NSHM scenario were developed for the Hilton Creek and Hartley Springs Faults to account for different opinions in how far these two faults extend into Long Valley Caldera. For each scenario, ground motions were calculated using the current standard practice: the deterministic seismic hazard analysis program developed by Art Frankel of USGS and three Next Generation Ground Motion Attenuation (NGA) models. Ground motion calculations incorporated the potential amplification of seismic shaking by near-surface soils defined by a map of the average shear wave velocity in the uppermost 30 m (<i>V<sub>S30</sub></i>) developed by CGS.</p><p>In addition to ground shaking and shaking-related ground failure such as liquefaction and earthquake induced landslides, earthquakes cause surface rupture displacement, which can lead to severe damage of buildings and lifelines. For each earthquake scenario, potential surface fault displacements are estimated using deterministic and probabilistic approaches. Liquefaction occurs when saturated sediments lose their strength because of ground shaking. Zones of potential liquefaction are mapped by incorporating areas where loose sandy sediments, shallow groundwater, and strong earthquake shaking coincide in the earthquake scenario. The process for defining zones of potential landslide and rockfall incorporates rock strength, surface slope, and existing landslides, with ground motions caused by the scenario earthquake.</p><p>Each scenario is illustrated with maps of seismic shaking potential and fault displacement, liquefaction, and landslide potential. Seismic shaking is depicted by the distribution of shaking intensity, peak ground acceleration, and 1.0-second spectral acceleration. One-second spectral acceleration correlates well with structural damage to surface facilities. Acceleration greater than 0.2 g is often associated with strong ground shaking and may cause moderate to heavy damage. The extent of strong shaking is influenced by subsurface fault dip and near surface materials. Strong shaking is more widespread in the hanging wall regions of a normal fault. Larger ground motions also occur where young alluvial sediments amplify the shaking. Both of these effects can lead to strong shaking that extends farther from the fault on the valley side than on the hill side.</p><p>The effect of fault rupture displacements may be localized along the surface trace of the mapped earthquake fault if fault geometry is simple and the fault traces are accurately located. However, surface displacement hazards can spread over a few hundred meters to a few kilometers if the earthquake fault has numerous splays or branches, such as the Hilton Creek Fault. Faulting displacements are estimated to be about 1 meter along normal faults in the study area and close to 2 meters along the White Mountains Fault Zone.</p><p>All scenarios show the possibility of widespread ground failure. Liquefaction damage would likely occur in the areas of higher ground shaking near the faults where there are sandy/silty sediments and the depth to groundwater is 6.1 meters (20 feet) or less. Generally, this means damage is most common near lakes and streams in the areas of strongest shaking. Landslide potential exists throughout the study region. All steep slopes (&gt;30 degrees) present a potential hazard at any level of shaking. Lesser slopes may have landslides within the areas of the higher ground shaking. The landslide hazard zones also are likely sources for snow avalanches during winter months and for large boulders that can be shaken loose and roll hundreds of feet down hill, which happened during the 1980 Mammoth Lakes earthquakes.</p><p>Whereas methodologies used in estimating ground shaking, liquefaction, and landslides are well developed and have been applied in published hazard maps; methodologies used in estimating surface fault displacement are still being developed. Therefore, this report provides a more in-depth and detailed discussion of methodologies used for deterministic and probabilistic fault displacement hazard analyses for this project.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141045","collaboration":"California Geological Survey Special Report 233","usgsCitation":"Chen, R., Branum, D.M., Wills, C.J., and Hill, D.P., 2018, Scenario earthquake hazards for the Long Valley Caldera-Mono Lake area, east-central California (ver. 2.0, January 2018): U.S. Geological Survey Open-File Report 2014–1045, and California Geological Survey Special Report 233, 84 p., https://doi.org/10.3133/ofr20141045.","productDescription":"viii, 84 p.","numberOfPages":"96","onlineOnly":"Y","ipdsId":"IP-036752","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":289212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141045.jpg"},{"id":350484,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2014/1045/pdf/ofr20141045_versionhist.txt","text":"Version History","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2014-1045"},{"id":289207,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1045/","text":"Index Page"},{"id":289211,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1045/pdf/ofr20141045_v2.0.pdf","text":"Report","size":"10.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2014-1045"}],"country":"United States","state":"California","otherGeospatial":"Long Valley Caldera;Mono Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.5,37.15 ], [ -119.5,38.2 ], [ -117.5,38.2 ], [ -117.5,37.15 ], [ -119.5,37.15 ] ] ] } } ] }","edition":"Version 1.0: Originally posted June 2014; Version 2.0: January 2018","contact":"<p><a href=\"http://earthquake.usgs.gov/\" data-mce-href=\"http://earthquake.usgs.gov/\">Earthquake Science Center</a><br>U.S. Geological Survey<br>345 Middlefield Road, MS 977<br>Menlo Park, CA 94025<br></p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2014-06-30","revisedDate":"2018-01-19","noUsgsAuthors":false,"publicationDate":"2014-06-30","publicationStatus":"PW","scienceBaseUri":"53b278d1e4b07b8813a5545b","contributors":{"authors":[{"text":"Chen, Rui","contributorId":78250,"corporation":false,"usgs":true,"family":"Chen","given":"Rui","affiliations":[],"preferred":false,"id":491266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Branum, David M.","contributorId":70692,"corporation":false,"usgs":true,"family":"Branum","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":491265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wills, Chris J.","contributorId":97576,"corporation":false,"usgs":true,"family":"Wills","given":"Chris","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":491267,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, David P. hill@usgs.gov","contributorId":2600,"corporation":false,"usgs":true,"family":"Hill","given":"David","email":"hill@usgs.gov","middleInitial":"P.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":491264,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70156844,"text":"70156844 - 2014 - Calibration of a conodont apatite-based Ordovician <sup>87</sup>Sr/<sup>86</sup>Sr curve to biostratigraphy and geochronology: Implications for stratigraphic resolution","interactions":[],"lastModifiedDate":"2017-05-10T16:13:27","indexId":"70156844","displayToPublicDate":"2014-06-30T11:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Calibration of a conodont apatite-based Ordovician <sup>87</sup>Sr/<sup>86</sup>Sr curve to biostratigraphy and geochronology: Implications for stratigraphic resolution","docAbstract":"<p><span>The Ordovician&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr isotope seawater curve is well established and shows a decreasing trend until the mid-Katian. However, uncertainties in calibration of this curve to biostratigraphy and geochronology have made it difficult to determine how the rates of&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr decrease may have varied, which has implications for both the stratigraphic resolution possible using Sr isotope stratigraphy and efforts to model the effects of Ordovician geologic events. We measured&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr in conodont apatite in North American Ordovician sections that are well studied for conodont biostratigraphy, primarily in Nevada, Oklahoma, the Appalachian region, and Ohio Valley. Our results indicate that conodont apatite may provide an accurate medium for Sr isotope stratigraphy and strengthen previous reports that point toward a significant increase in the rate of fall in seawater&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr during the Middle Ordovician Darriwilian Stage. Our&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr results suggest that Sr isotope stratigraphy will be most useful as a high-resolution tool for global correlation in the mid-Darriwilian to mid-Sandbian, when the maximum rate of fall in&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr is estimated at &sim;5.0&ndash;10.0 &times; 10</span><sup>&ndash;5</sup><span>&nbsp;per m.y. Variable preservation of conodont elements limits the precision for individual stratigraphic horizons. Replicate conodont analyses from the same sample differ by an average of &sim;4.0 &times; 10</span><sup>&ndash;5</sup><span>&nbsp;(the 2&sigma; standard deviation is 6.2 &times; 10</span><sup>&ndash;5</sup><span>), which in the best case scenario allows for subdivision of Ordovician time intervals characterized by the highest rates of fall in&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr at a maximum resolution of &sim;0.5&ndash;1.0 m.y. Links between the increased rate of fall in&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr beginning in the mid-late Darriwilian (</span><i>Phragmodus polonicus</i><span>&nbsp;to&nbsp;</span><i>Pygodus serra</i><span>&nbsp;conodont zones) and geologic events continue to be investigated, but the coincidence with a long-term rise in sea level (Sauk-Tippecanoe megasequence boundary) and tectonic events (Taconic orogeny) in North America provides a plausible explanation for the changing magnitude and</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr of the riverine Sr flux to the oceans.</span></p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/B31038.1","usgsCitation":"Saltzman, M.R., Edwards, C.T., Leslie, S.A., Dwyer, G., Bauer, J.A., Repetski, J.E., Harris, A.G., and Bergstrom, S.M., 2014, Calibration of a conodont apatite-based Ordovician <sup>87</sup>Sr/<sup>86</sup>Sr curve to biostratigraphy and geochronology: Implications for stratigraphic resolution: GSA Bulletin, v. 126, no. 11-12, p. 1551-1568, https://doi.org/10.1130/B31038.1.","productDescription":"18 p.","startPage":"1551","endPage":"1568","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057069","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":307815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"126","issue":"11-12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-30","publicationStatus":"PW","scienceBaseUri":"55e81daee4b0dacf699e665e","contributors":{"authors":[{"text":"Saltzman, M. R.","contributorId":147228,"corporation":false,"usgs":false,"family":"Saltzman","given":"M.","email":"","middleInitial":"R.","affiliations":[{"id":6714,"text":"Ohio State University, School of Earth Sciences, Columbus, Ohio, USA","active":true,"usgs":false}],"preferred":false,"id":570809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, C. T.","contributorId":147229,"corporation":false,"usgs":false,"family":"Edwards","given":"C.","email":"","middleInitial":"T.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":570810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leslie, S. A.","contributorId":147230,"corporation":false,"usgs":false,"family":"Leslie","given":"S.","email":"","middleInitial":"A.","affiliations":[{"id":16809,"text":"James Madison University","active":true,"usgs":false}],"preferred":false,"id":570811,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dwyer, Gary S.","contributorId":67642,"corporation":false,"usgs":true,"family":"Dwyer","given":"Gary S.","affiliations":[],"preferred":false,"id":570812,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bauer, J. A.","contributorId":147232,"corporation":false,"usgs":false,"family":"Bauer","given":"J.","email":"","middleInitial":"A.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":570813,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Repetski, John E. 0000-0002-2298-7120 jrepetski@usgs.gov","orcid":"https://orcid.org/0000-0002-2298-7120","contributorId":2596,"corporation":false,"usgs":true,"family":"Repetski","given":"John","email":"jrepetski@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":570808,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harris, A. G.","contributorId":147233,"corporation":false,"usgs":false,"family":"Harris","given":"A.","email":"","middleInitial":"G.","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":570814,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bergstrom, S. M.","contributorId":147234,"corporation":false,"usgs":false,"family":"Bergstrom","given":"S.","email":"","middleInitial":"M.","affiliations":[{"id":6714,"text":"Ohio State University, School of Earth Sciences, Columbus, Ohio, USA","active":true,"usgs":false}],"preferred":false,"id":570815,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70114492,"text":"ofr20101083N - 2014 - Seismicity of the Earth 1900-2012 Java and vicinity","interactions":[],"lastModifiedDate":"2014-06-30T10:41:23","indexId":"ofr20101083N","displayToPublicDate":"2014-06-30T10:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1083","chapter":"N","title":"Seismicity of the Earth 1900-2012 Java and vicinity","docAbstract":"<p>The Sunda convergent margin extends for 5,600 km from the Bay of Bengal and the Andaman Sea, both located northwest of the map area, towards the island of Sumba in the southeast, and then continues eastward as the Banda arc system. This tectonically active margin is a result of the India and Australia plates converging with and subducting beneath the Sunda plate at a rate of approximately 50 to 70 mm/yr. The main physiographic feature associated with this convergent margin is the Sunda-Java Trench, which stretches for 3,000 km parallel to the Java and Sumatra land masses and terminates at 120° E. The convergence of the Indo-Australia and Sunda plates produces two active volcanic arcs: Sunda, which extends from 105 to 122° E and Banda, which extends from 122 to 128° E. The Sunda arc results solely from relatively simple oceanic plate subduction, while the Banda arc represents the transition from oceanic subduction to continental collision, where a complex, broad deforming zone is found.</p>\n<br>\n<p>Based on modern activity, the Banda arc can be divided into three distinct zones: an inactive section, the Wetar Zone, bound by two active segments, the Flores Zone in the west and the Damar Zone in the east. The lack of volcanism in the Wetar Zone is attributed to the collision of Australia with the Sunda plate. The absence of gap in volcanic activity is underlain by a gap in intermediate depth seismicity, which is in contrast to nearly continuous, deep seismicity below all three sections of the arc. The Flores Zone is characterized by down-dip compression in the subducted slab at intermediate depths and late Quaternary uplift of the forearc. These unusual features, along with GPS data interpretations indicate that the Flores Zone marks the transition between subduction of oceanic crust in the west and the collision of continental crust in the east.</p>\n<br>\n<p>The Java section of the Sunda arc is considered relatively aseismic historically when compared to the highly seismically active Sumatra section, despite both areas being located along the same active subduction margin. Shallow (0–20 km) events have occurred historically in the overlying Sunda plate, causing damage to local and regional communities. A recent example was the May 26, 2006 M6.3 left-lateral strike-slip event that occurred at a depth of 10 km in central Java, and caused over 5,700 fatalities. Intermediate depth (70–300 km) earthquakes frequently occur beneath Java as a result of intraplate faulting within the Australia slab. Deep (300–650 km) earthquakes occur beneath the Java Sea and the back-arc region to the north of Java. Similar to other intermediate depth events, these earthquakes are also associated with intraslab faulting. However, this subduction zone exhibits a gap in seismicity from 250 to 400 km, interpreted as the transition between extensional and compressional slab stresses. Historical examples of large intraplate events include: the 1903 M8.1 event, 1921 M7.5 event, 1977 M8.3 event, and August 2007 M7.5 event.</p>\n<br>\n<p>Large thrust earthquakes close to the Java trench are typically interplate faulting events along the slab interface between the Australia and Sunda plates. These earthquakes also generally have high tsunamigenic potential due to their shallow hypocentral depths. In some cases, these events have demonstrated slow moment-release and have been defined as ‘tsunami’ earthquakes, where rupture is large in the weak crustal layers very close to the seafloor. These events are categorized by tsunamis that are significantly larger than predicted by the earthquake’s magnitude.  The most notable tsunami earthquakes in the Java region occurred on June 2, 1994 (M7.8) and July 17, 2006 (M7.7).  The 1994 event produced a tsunami with wave runup heights of 13 m, killing over 200 people.  The 2006 event produced a tsunami of up to 15 m, and killed 730 people. Although both of these tsunami earthquakes were characterized by rupture along thrust faults, they were followed by an abundance of normal faulting aftershocks.  These aftershocks are interpreted to result from extension within the subducting Australia plate, whereas the mainshocks represented interplate faulting between the Australia and Sunda plates.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101083N","issn":"2331-1258","usgsCitation":"Jones, E.S., Hayes, G., Bernardino, M., Dannemann, F.K., Furlong, K.P., Benz, H.M., and Villaseñor, A., 2014, Seismicity of the Earth 1900-2012 Java and vicinity: U.S. Geological Survey Open-File Report 2010-1083, 1 Map: 37.13 x 23.83 inches, https://doi.org/10.3133/ofr20101083N.","productDescription":"1 Map: 37.13 x 23.83 inches","onlineOnly":"Y","temporalStart":"1900-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-049053","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":289190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20101083N.jpg"},{"id":289188,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1083/n/"},{"id":289189,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1083/n/pdf/of2010-1083-N.pdf"}],"scale":"5000000","projection":"World Mercator projection","otherGeospatial":"Sunda","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 105.0,-15.0 ], [ 105.0,0.0 ], [ 130.0,0.0 ], [ 130.0,-15.0 ], [ 105.0,-15.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b278d1e4b07b8813a5545d","contributors":{"authors":[{"text":"Jones, Eric S. 0000-0002-9200-8442 esjones@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-8442","contributorId":4924,"corporation":false,"usgs":true,"family":"Jones","given":"Eric","email":"esjones@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":495327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Gavin P. 0000-0003-3323-0112","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":6157,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":495328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernardino, Melissa","contributorId":100732,"corporation":false,"usgs":true,"family":"Bernardino","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":495331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dannemann, Fransiska K.","contributorId":44077,"corporation":false,"usgs":true,"family":"Dannemann","given":"Fransiska","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":495330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furlong, Kevin P. 0000-0002-2674-5110","orcid":"https://orcid.org/0000-0002-2674-5110","contributorId":19576,"corporation":false,"usgs":false,"family":"Furlong","given":"Kevin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":495329,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":495326,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Villaseñor, Antonio","contributorId":100969,"corporation":false,"usgs":true,"family":"Villaseñor","given":"Antonio","affiliations":[],"preferred":false,"id":495332,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70120200,"text":"70120200 - 2014 - Air-sea interactions during strong winter extratropical storms","interactions":[],"lastModifiedDate":"2014-08-13T08:48:30","indexId":"70120200","displayToPublicDate":"2014-06-30T08:45:29","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2923,"text":"Ocean Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Air-sea interactions during strong winter extratropical storms","docAbstract":"A high-resolution, regional coupled atmosphere–ocean model is used to investigate strong air–sea interactions during a rapidly developing extratropical cyclone (ETC) off the east coast of the USA. In this two-way coupled system, surface momentum and heat fluxes derived from the Weather Research and Forecasting model and sea surface temperature (SST) from the Regional Ocean Modeling System are exchanged via the Model Coupling Toolkit. Comparisons are made between the modeled and observed wind velocity, sea level pressure, 10 m air temperature, and sea surface temperature time series, as well as a comparison between the model and one glider transect. Vertical profiles of modeled air temperature and winds in the marine atmospheric boundary layer and temperature variations in the upper ocean during a 3-day storm period are examined at various cross-shelf transects along the eastern seaboard. It is found that the air–sea interactions near the Gulf Stream are important for generating and sustaining the ETC. In particular, locally enhanced winds over a warm sea (relative to the land temperature) induce large surface heat fluxes which cool the upper ocean by up to 2 °C, mainly during the cold air outbreak period after the storm passage. Detailed heat budget analyses show the ocean-to-atmosphere heat flux dominates the upper ocean heat content variations. Results clearly show that dynamic air–sea interactions affecting momentum and buoyancy flux exchanges in ETCs need to be resolved accurately in a coupled atmosphere–ocean modeling framework.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ocean Dynamics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Berlin","doi":"10.1007/s10236-014-0745-2","usgsCitation":"Nelson, J., He, R., Warner, J., and Bane, J., 2014, Air-sea interactions during strong winter extratropical storms: Ocean Dynamics, https://doi.org/10.1007/s10236-014-0745-2.","ipdsId":"IP-053311","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":292051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292049,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10236-014-0745-2"}],"noUsgsAuthors":false,"publicationDate":"2014-07-30","publicationStatus":"PW","scienceBaseUri":"53ec7bc3e4b02bf5a7673fe1","contributors":{"authors":[{"text":"Nelson, Jill","contributorId":24288,"corporation":false,"usgs":true,"family":"Nelson","given":"Jill","email":"","affiliations":[],"preferred":false,"id":497967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"He, Ruoying","contributorId":68029,"corporation":false,"usgs":true,"family":"He","given":"Ruoying","affiliations":[],"preferred":false,"id":497968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":497966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bane, John","contributorId":80590,"corporation":false,"usgs":true,"family":"Bane","given":"John","email":"","affiliations":[],"preferred":false,"id":497969,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70134312,"text":"70134312 - 2014 - Aboveground allometric models for freeze-affected black mangroves (Avicennia germinans): Equations for a climate sensitive mangrove-marsh ecotone","interactions":[],"lastModifiedDate":"2020-12-31T20:21:16.752585","indexId":"70134312","displayToPublicDate":"2014-06-27T11:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Aboveground allometric models for freeze-affected black mangroves (<i>Avicennia germinans</i>): Equations for a climate sensitive mangrove-marsh ecotone","title":"Aboveground allometric models for freeze-affected black mangroves (Avicennia germinans): Equations for a climate sensitive mangrove-marsh ecotone","docAbstract":"<p><span>Across the globe, species distributions are changing in response to climate change and land use change. In parts of the southeastern United States, climate change is expected to result in the poleward range expansion of black mangroves (</span><i>Avicennia germinans</i><span>) at the expense of some salt marsh vegetation. The morphology of&nbsp;</span><i>A. germinans</i><span>&nbsp;at its northern range limit is more shrub-like than in tropical climes in part due to the aboveground structural damage and vigorous multi-stem regrowth triggered by extreme winter temperatures. In this study, we developed aboveground allometric equations for freeze-affected black mangroves which can be used to quantify: (1) total aboveground biomass; (2) leaf biomass; (3) stem plus branch biomass; and (4) leaf area. Plant volume (i.e., a combination of crown area and plant height) was selected as the optimal predictor of the four response variables. We expect that our simple measurements and equations can be adapted for use in other mangrove ecosystems located in abiotic settings that result in mangrove individuals with dwarf or shrub-like morphologies including oligotrophic and arid environments. Many important ecological functions and services are affected by changes in coastal wetland plant community structure and productivity including carbon storage, nutrient cycling, coastal protection, recreation, fish and avian habitat, and ecosystem response to sea level rise and extreme climatic events. Coastal scientists in the southeastern United States can use the identified allometric equations, in combination with easily obtained and non-destructive plant volume measurements, to better quantify and monitor ecological change within the dynamic, climate sensitive, and highly-productive mangrove-marsh ecotone.</span></p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0099604","usgsCitation":"Osland, M.J., Day, R.H., Larriviere, J.C., and From, A.S., 2014, Aboveground allometric models for freeze-affected black mangroves (Avicennia germinans): Equations for a climate sensitive mangrove-marsh ecotone: PLoS ONE, v. 9, no. 6, e99604, 7 p., https://doi.org/10.1371/journal.pone.0099604.","productDescription":"e99604, 7 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055156","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":472921,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0099604","text":"Publisher Index Page"},{"id":296371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","city":"Port Fourchon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.7635498046875,\n              28.924035288388865\n            ],\n            [\n              -89.20074462890625,\n              28.924035288388865\n            ],\n            [\n              -89.20074462890625,\n              29.450360671054415\n            ],\n            [\n              -90.7635498046875,\n              29.450360671054415\n            ],\n            [\n              -90.7635498046875,\n              28.924035288388865\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-06-27","publicationStatus":"PW","scienceBaseUri":"547ee2bae4b09357f05f8a3a","contributors":{"authors":[{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":525842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":525843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larriviere, Jack C. jlarriviere@usgs.gov","contributorId":5839,"corporation":false,"usgs":true,"family":"Larriviere","given":"Jack","email":"jlarriviere@usgs.gov","middleInitial":"C.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":525844,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"From, Andrew S. 0000-0002-6543-2627 froma@usgs.gov","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":5038,"corporation":false,"usgs":true,"family":"From","given":"Andrew","email":"froma@usgs.gov","middleInitial":"S.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":525845,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70114859,"text":"70114859 - 2014 - Grass carp in the Great Lakes region: establishment potential, expert perceptions, and re-evaluation of experimental evidence of ecological impact","interactions":[],"lastModifiedDate":"2014-06-27T10:01:45","indexId":"70114859","displayToPublicDate":"2014-06-27T09:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Grass carp in the Great Lakes region: establishment potential, expert perceptions, and re-evaluation of experimental evidence of ecological impact","docAbstract":"Intentional introductions of nonindigenous fishes are increasing globally. While benefits of these introductions are easily quantified, assessments to understand the negative impacts to ecosystems are often difficult, incomplete, or absent. Grass carp (Ctenopharyngodon idella) was originally introduced to the United States as a biocontrol agent, and recent observations of wild, diploid individuals in the Great Lakes basin have spurred interest in re-evaluating its ecological risk. Here, we evaluate the ecological impact of grass carp using expert opinion and a suite of the most up-to-date analytical tools and data (ploidy assessment, eDNA surveillance, species distribution models (SDMs), and meta-analysis). The perceived ecological impact of grass carp by fisheries experts was variable, ranging from unknown to very high. Wild-caught triploid and diploid individuals occurred in multiple Great Lakes waterways, and eDNA surveillance suggests that grass carp are abundant in a major tributary of Lake Michigan. SDMs predicted suitable grass carp climate occurs in all Great Lakes. Meta-analysis showed that grass carp introductions impact both water quality and biota. Novel findings based on updated ecological impact assessment tools indicate that iterative risk assessment of introduced fishes may be warranted.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2013-0537","usgsCitation":"Wittmann, M.E., Jerde, C.L., Howeth, J.G., Maher, S.P., Deines, A., Jenkins, J.A., Whitledge, G.W., Burbank, S.B., Chadderton, W.L., Mahon, A., Tyson, J.T., Gantz, C.A., Keller, R.P., Drake, J.M., and Lodge, D.M., 2014, Grass carp in the Great Lakes region: establishment potential, expert perceptions, and re-evaluation of experimental evidence of ecological impact: Canadian Journal of Fisheries and Aquatic Sciences, v. 71, no. 7, p. 992-999, https://doi.org/10.1139/cjfas-2013-0537.","productDescription":"8 p.","startPage":"992","endPage":"999","numberOfPages":"8","ipdsId":"IP-045070","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":472922,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2013-0537","text":"Publisher Index Page"},{"id":289125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289121,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/cjfas-2013-0537"}],"country":"United States","otherGeospatial":"Great Lakes Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.4 ], [ -92.11,48.85 ], [ -76.3,48.85 ], [ -76.3,41.4 ], [ -92.11,41.4 ] ] ] } } ] }","volume":"71","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae76e9e4b0abf75cf2c084","contributors":{"authors":[{"text":"Wittmann, Marion E.","contributorId":66988,"corporation":false,"usgs":true,"family":"Wittmann","given":"Marion","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":495424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jerde, Christopher L.","contributorId":45608,"corporation":false,"usgs":true,"family":"Jerde","given":"Christopher","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":495421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howeth, Jennifer G.","contributorId":63319,"corporation":false,"usgs":true,"family":"Howeth","given":"Jennifer","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":495422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maher, Sean P.","contributorId":7998,"corporation":false,"usgs":true,"family":"Maher","given":"Sean","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":495419,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deines, Andrew M.","contributorId":94601,"corporation":false,"usgs":true,"family":"Deines","given":"Andrew M.","affiliations":[],"preferred":false,"id":495429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":495418,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Whitledge, Gregory W.","contributorId":73110,"corporation":false,"usgs":true,"family":"Whitledge","given":"Gregory","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":495426,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burbank, Sarah B.","contributorId":69480,"corporation":false,"usgs":true,"family":"Burbank","given":"Sarah","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":495425,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chadderton, William L.","contributorId":31313,"corporation":false,"usgs":true,"family":"Chadderton","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":495420,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mahon, Andrew R.","contributorId":64131,"corporation":false,"usgs":true,"family":"Mahon","given":"Andrew R.","affiliations":[],"preferred":false,"id":495423,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tyson, Jeffrey T.","contributorId":104433,"corporation":false,"usgs":true,"family":"Tyson","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":495431,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gantz, Crysta A.","contributorId":105647,"corporation":false,"usgs":true,"family":"Gantz","given":"Crysta","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":495432,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Keller, Reuben P.","contributorId":98637,"corporation":false,"usgs":true,"family":"Keller","given":"Reuben","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":495430,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Drake, John M.","contributorId":88273,"corporation":false,"usgs":true,"family":"Drake","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":495428,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lodge, David M.","contributorId":76622,"corporation":false,"usgs":false,"family":"Lodge","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":495427,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70058442,"text":"sim3245 - 2014 - Geologic map of MTM -30247, -35247, and -40247 quadrangles, Reull Vallis region of Mars","interactions":[],"lastModifiedDate":"2023-03-16T19:19:53.492781","indexId":"sim3245","displayToPublicDate":"2014-06-26T15:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3245","title":"Geologic map of MTM -30247, -35247, and -40247 quadrangles, Reull Vallis region of Mars","docAbstract":"<p>Mars Transverse Mercator (MTM) &ndash;30247, &ndash;35247, and &ndash;40247 quadrangles cover a portion of southern Hesperia Planum and the highlands of eastern Promethei Terra, east of the Hellas basin. The map area (lat 27.5&ndash;42.5&deg; S., long 110&ndash;115&deg; E.) consists of cratered ancient highland materials of moderate relief, isolated knobs and massifs of rugged mountainous materials, extensive tracts of plains, and surficial deposits. Waikato and Reull Valles extend through plains and highland terrains. Regional slopes are generally to the southwest toward the Hellas basin, but local slopes (for example, highlands to plains) dominate the landscape.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3245","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Mest, S.C., and Crown, D., 2014, Geologic map of MTM -30247, -35247, and -40247 quadrangles, Reull Vallis region of Mars: U.S. Geological Survey Scientific Investigations Map 3245, Map: 58.0 x 42.0 inches; Pamphlet: i, 20 p.; GIS: ZIP; Readme; Metadata: TXT; Metadata: XML, https://doi.org/10.3133/sim3245.","productDescription":"Map: 58.0 x 42.0 inches; Pamphlet: i, 20 p.; GIS: ZIP; Readme; Metadata: TXT; Metadata: XML","numberOfPages":"24","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-042446","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":438763,"rank":10,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SF385I","text":"USGS data release","linkHelpText":"Interactive Map: USGS SIM 3245 Geologic Map of MTM -30247, -35247, and -40247 Quadrangles, Reull Vallis Region of Mars"},{"id":289110,"rank":8,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3245.jpg"},{"id":414303,"rank":9,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://doi.org/10.5066/P9SF385I","text":"Interactive map","linkHelpText":"- Geologic Map of MTM –30247, –35247, and –40247 Quadrangles, Reull Vallis Region of Mars 1:1M. Mest and Crown (2014)"},{"id":289109,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3245/downloads/sim3245_metadata.xml"},{"id":289108,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3245/downloads/sim3245_metadata.txt"},{"id":289107,"rank":6,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3245/downloads/sim3245_readme.txt"},{"id":289103,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3245/"},{"id":289104,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3245/pdf/sim3245_map.pdf"},{"id":289106,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3245/downloads/sim3245_GIS.zip"},{"id":289105,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3245/pdf/sim3245_pamphlet.pdf"}],"scale":"1000000","projection":"Transverse Mercator Projection","otherGeospatial":"Mars; Reull Vallis Region","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ad32d8e4b0729c154181a8","contributors":{"authors":[{"text":"Mest, Scott C.","contributorId":96375,"corporation":false,"usgs":true,"family":"Mest","given":"Scott","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":487050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crown, David A.","contributorId":102582,"corporation":false,"usgs":true,"family":"Crown","given":"David A.","affiliations":[],"preferred":false,"id":487051,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70114649,"text":"70114649 - 2014 - Can they dig it? Functional morphology and semifossoriality among small-eared shrews, genus <i>Cryptotis</i> (Mammalia, Soricidae)","interactions":[],"lastModifiedDate":"2014-06-26T13:44:23","indexId":"70114649","displayToPublicDate":"2014-06-26T13:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2394,"text":"Journal of Morphology","active":true,"publicationSubtype":{"id":10}},"title":"Can they dig it? Functional morphology and semifossoriality among small-eared shrews, genus <i>Cryptotis</i> (Mammalia, Soricidae)","docAbstract":"Small-eared shrews (Mammalia: Soricidae: <i>Cryptotis</i>), exhibit modifications of the forelimb skeleton that have been interpreted as adaptations for semifossoriality. Most species inhabit remote regions, however, and their locomotory and foraging behaviors remain mostly speculative. To better understand the morphological modifications in the absence of direct observations, we quantified variation in these species by measuring 151 individuals representing 18 species and populations of <i>Cryptotis</i> and two species of moles (Talpidae) for comparison. From our measurements, we calculated 22 indices, most of which have been used previously to characterize substrate use among rodents and other taxa. We analyzed the indices using 1) average percentile ranks, 2) principal components analysis, and 3) cluster analysis. From these analyses, we determined that three basic modes of substrate adaptation are present within <i>Cryptotis</i>: 1) a primarily terrestrial mode, with species that are capable of burrowing, but lack adaptations to increase digging efficiency, 2) a semifossorial mode, with species whose forelimbs bones show strong muscle attachment areas and increased mechanical advantage, and 3) an intermediate mode. In addition to identifying new morphological characters and contributing to our understanding of the functional morphology of soricids, these analyses provide additional insight into the ecology of the species of interest.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Morphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons, Inc.","doi":"10.1002/jmor.20254","usgsCitation":"Woodman, N., and Gaffney, S.A., 2014, Can they dig it? Functional morphology and semifossoriality among small-eared shrews, genus <i>Cryptotis</i> (Mammalia, Soricidae): Journal of Morphology, v. 275, no. 7, p. 745-759, https://doi.org/10.1002/jmor.20254.","productDescription":"15 p.","startPage":"745","endPage":"759","numberOfPages":"15","ipdsId":"IP-051998","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":289092,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jmor.20254"},{"id":289093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"275","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-01-28","publicationStatus":"PW","scienceBaseUri":"53ad32d6e4b0729c154181a0","chorus":{"doi":"10.1002/jmor.20254","url":"http://dx.doi.org/10.1002/jmor.20254","publisher":"Wiley-Blackwell","authors":"Woodman Neal, Gaffney Sarah A.","journalName":"Journal of Morphology","publicationDate":"1/28/2014"},"contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":495392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaffney, Sarah A.","contributorId":94219,"corporation":false,"usgs":true,"family":"Gaffney","given":"Sarah","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":495393,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70114640,"text":"70114640 - 2014 - A multiscale assessment of tree avoidance by prairie birds","interactions":[],"lastModifiedDate":"2014-06-26T13:11:32","indexId":"70114640","displayToPublicDate":"2014-06-26T12:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"A multiscale assessment of tree avoidance by prairie birds","docAbstract":"In North America, grassland bird abundances have declined, likely as a result of loss and degradation of prairie habitat. Given the expense and limited opportunity to procure new grasslands, managers are increasingly focusing on ways to improve existing habitat for grassland birds, using techniques such as tree removal. To examine the potential for tree removal to benefit grassland birds, we conducted 446 point counts on 35 grassland habitat patches in the highly fragmented landscape of west-central Minnesota during 2009–2011. We modeled density of four grassland bird species in relation to habitat composition at multiple scales, focusing on covariates that described grass, woody vegetation (trees and large shrubs), or combinations of grass and woody vegetation. The best-supported models for all four grassland bird species incorporated variables measured at multiple scales, including local features such as grass height, litter depth, and local tree abundance, as well as landscape-level measures of grass and tree cover. Savannah Sparrows (<i>Passerculus sandwichensis</i>), Sedge Wrens (<i>Cistothorus platensis</i>), and Bobolinks (<i>Dolichonyx oryzivorus</i>) responded consistently and negatively to woody vegetation, but response to litter depth, grass height, and grassland extent were mixed among species. Our results suggest that reducing shrub and tree cover is more likely to increase the density of grassland birds than are attempts to improve grass quality or quantity. In particular, tree removal is more likely to increase density of Savannah Sparrows and Sedge Wrens than any reasonable changes in grass quality or quantity. Yet tree removal may not result in increased abundance of grassland birds if habitat composition is not considered at multiple scales. Managers will need to either manage at large scales (80–300 ha) or focus their efforts on removing trees in landscapes that contain some grasslands but few nearby wooded areas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-13-072.1","usgsCitation":"Thompson, S.J., Arnold, T.W., and Amundson, C.L., 2014, A multiscale assessment of tree avoidance by prairie birds: The Condor, v. 116, no. 3, p. 303-315, https://doi.org/10.1650/CONDOR-13-072.1.","productDescription":"13 p.","startPage":"303","endPage":"315","numberOfPages":"13","ipdsId":"IP-053994","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":472923,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-13-072.1","text":"Publisher Index Page"},{"id":289089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289088,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1650/CONDOR-13-072.1"}],"country":"United States","state":"Minnesota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.24,43.5 ], [ -97.24,49.38 ], [ -89.49,49.38 ], [ -89.49,43.5 ], [ -97.24,43.5 ] ] ] } } ] }","volume":"116","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ad32d3e4b0729c1541819a","contributors":{"authors":[{"text":"Thompson, Sarah J. 0000-0002-5733-8198 sjthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-5733-8198","contributorId":5434,"corporation":false,"usgs":true,"family":"Thompson","given":"Sarah","email":"sjthompson@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":495389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arnold, Todd W.","contributorId":36058,"corporation":false,"usgs":false,"family":"Arnold","given":"Todd","email":"","middleInitial":"W.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":495390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amundson, Courtney L. 0000-0002-0166-7224 camundson@usgs.gov","orcid":"https://orcid.org/0000-0002-0166-7224","contributorId":4833,"corporation":false,"usgs":true,"family":"Amundson","given":"Courtney","email":"camundson@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":495388,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70114616,"text":"70114616 - 2014 - A quantitative life history of endangered humpback chub that spawn in the Little Colorado River: variation in movement, growth, and survival","interactions":[],"lastModifiedDate":"2014-06-26T10:55:01","indexId":"70114616","displayToPublicDate":"2014-06-26T10:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A quantitative life history of endangered humpback chub that spawn in the Little Colorado River: variation in movement, growth, and survival","docAbstract":"While the ecology and evolution of partial migratory systems (defined broadly to include skip spawning) have been well studied, we are only beginning to understand how partial migratory populations are responding to ongoing environmental change. Environmental change can lead to differences in the fitness of residents and migrants, which could eventually lead to changes in the frequency of the strategies in the overall population. Here, we address questions concerning the life history of the endangered <i>Gila cypha</i> (humpback chub) in the regulated Colorado River and the unregulated tributary and primary spawning area, the Little Colorado River. We develop eight multistate models for the population based on three movement hypotheses, in which states are defined in terms of fish size classes and river locations. We fit these models to mark–recapture data collected in 2009–2012. We compare survival and growth estimates between the Colorado River and Little Colorado River and calculate abundances for all size classes. The best model supports the hypotheses that larger adults spawn more frequently than smaller adults, that there are residents in the spawning grounds, and that juveniles move out of the Little Colorado River in large numbers during the monsoon season (July–September). Monthly survival rates for <i>G. cypha</i> in the Colorado River are higher than in the Little Colorado River in all size classes; however, growth is slower. While the hypothetical life histories of life-long residents in the Little Colorado River and partial migrants spending most of its time in the Colorado River are very different, they lead to roughly similar fitness expectations when we used expected number of spawns as a proxy. However, more research is needed because our study period covers a period of years when conditions in the Colorado River for <i>G. cypha</i> are likely to have been better than has been typical over the last few decades.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons Ltd.","doi":"10.1002/ece3.990","usgsCitation":"Yackulic, C.B., Yard, M., Korman, J., and Van Haverbeke, D., 2014, A quantitative life history of endangered humpback chub that spawn in the Little Colorado River: variation in movement, growth, and survival: Ecology and Evolution, v. 4, no. 7, p. 1006-1018, https://doi.org/10.1002/ece3.990.","productDescription":"13 p.","startPage":"1006","endPage":"1018","numberOfPages":"13","ipdsId":"IP-046001","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472924,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.990","text":"Publisher Index Page"},{"id":289074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289073,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ece3.990"}],"country":"United States","otherGeospatial":"Colorado River;Little Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.920471,36.073522 ], [ -111.920471,36.375962 ], [ -111.498184,36.375962 ], [ -111.498184,36.073522 ], [ -111.920471,36.073522 ] ] ] } } ] }","volume":"4","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-02-28","publicationStatus":"PW","scienceBaseUri":"53ad32d4e4b0729c1541819c","contributors":{"authors":[{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":495351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yard, Michael D. 0000-0002-6580-6027","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":8577,"corporation":false,"usgs":true,"family":"Yard","given":"Michael D.","affiliations":[],"preferred":false,"id":495352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korman, Josh","contributorId":29922,"corporation":false,"usgs":true,"family":"Korman","given":"Josh","affiliations":[],"preferred":false,"id":495353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Haverbeke, David R.","contributorId":83838,"corporation":false,"usgs":false,"family":"Van Haverbeke","given":"David R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":495354,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70112161,"text":"ofr20141108 - 2014 - Landsat and water: case studies of the uses and benefits of landsat imagery in water resources","interactions":[],"lastModifiedDate":"2014-06-26T10:16:32","indexId":"ofr20141108","displayToPublicDate":"2014-06-26T10:05:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1108","title":"Landsat and water: case studies of the uses and benefits of landsat imagery in water resources","docAbstract":"<p>The Landsat program has been collecting and archiving moderate resolution earth imagery since 1972. The number of Landsat users and uses has increased exponentially since the enactment of a free and open data policy in 2008, which made data available free of charge to all users. Benefits from the information Landsat data provides vary from improving environmental quality to protecting public health and safety and informing decision makers such as consumers and producers, government officials and the public at large. Although some studies have been conducted, little is known about the total benefit provided by open access Landsat imagery.</p>\n<br/>\n<p>This report contains a set of case studies focused on the uses and benefits of Landsat imagery. The purpose of these is to shed more light on the benefits accrued from Landsat imagery and to gain a better understanding of the program’s value. The case studies tell a story of how Landsat imagery is used and what its value is to different private and public entities. Most of the case studies focus on the use of Landsat in water resource management, although some other content areas are included.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141108","usgsCitation":"Serbina, L.O., and Miller, H.M., 2014, Landsat and water: case studies of the uses and benefits of landsat imagery in water resources: U.S. Geological Survey Open-File Report 2014-1108, xii, 61 p., https://doi.org/10.3133/ofr20141108.","productDescription":"xii, 61 p.","numberOfPages":"73","onlineOnly":"Y","ipdsId":"IP-052473","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":289072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141108.jpg"},{"id":289070,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1108/"},{"id":289071,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1108/pdf/ofr2014-1108.pdf"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b193e4b0388651d917de","contributors":{"authors":[{"text":"Serbina, Larisa O. lserbina@usgs.gov","contributorId":5474,"corporation":false,"usgs":true,"family":"Serbina","given":"Larisa","email":"lserbina@usgs.gov","middleInitial":"O.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":494571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Holly M. 0000-0003-0914-7570 millerh@usgs.gov","orcid":"https://orcid.org/0000-0003-0914-7570","contributorId":29544,"corporation":false,"usgs":true,"family":"Miller","given":"Holly","email":"millerh@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":494572,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70240954,"text":"70240954 - 2014 - Inundation of a barrier island (Chandeleur Islands, Louisiana, USA) during a hurricane: Observed water-level gradients and modeled seaward sand transport","interactions":[],"lastModifiedDate":"2023-03-02T15:18:15.90432","indexId":"70240954","displayToPublicDate":"2014-06-26T09:12:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Inundation of a barrier island (Chandeleur Islands, Louisiana, USA) during a hurricane: Observed water-level gradients and modeled seaward sand transport","docAbstract":"<p><span>Large geomorphic changes to barrier islands may occur during inundation, when storm surge exceeds island elevation. Inundation occurs episodically and under energetic conditions that make quantitative observations difficult. We measured water levels on both sides of a barrier island in the northern Chandeleur Islands during inundation by Hurricane Isaac. Wind patterns caused the water levels to slope from the bay side to the ocean side for much of the storm. Modeled geomorphic changes during the storm were very sensitive to the cross-island slopes imposed by water-level boundary conditions. Simulations with equal or landward sloping water levels produced the characteristic barrier island storm response of overwash deposits or displaced berms with smoother final topography. Simulations using the observed seaward sloping water levels produced cross-barrier channels and deposits of sand on the ocean side, consistent with poststorm observations. This sensitivity indicates that accurate water-level boundary conditions must be applied on both sides of a barrier to correctly represent the geomorphic response to inundation events. More broadly, the consequence of seaward transport is that it alters the relationship between storm intensity and volume of landward transport. Sand transported to the ocean side may move downdrift, or aid poststorm recovery by moving onto the beach face or closing recent breaches, but it does not contribute to island transgression or appear as an overwash deposit in the back-barrier stratigraphic record. The high vulnerability of the Chandeleur Islands allowed us to observe processes that are infrequent but may be important at other barrier islands.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013JF003069","usgsCitation":"Sherwood, C.R., Long, J.W., Dickhudt, P., Dalyander, P.S., Thompson, D.M., and Plant, N.G., 2014, Inundation of a barrier island (Chandeleur Islands, Louisiana, USA) during a hurricane: Observed water-level gradients and modeled seaward sand transport: JGR Earth Surface, v. 119, no. 7, p. 1498-1515, https://doi.org/10.1002/2013JF003069.","productDescription":"18 p.","startPage":"1498","endPage":"1515","ipdsId":"IP-053447","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472925,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jf003069","text":"Publisher Index Page"},{"id":413617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Chandeleur Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.71427201193912,\n              30.126096110029266\n            ],\n            [\n              -89.10316960345594,\n              30.126096110029266\n            ],\n            [\n              -89.10316960345594,\n              29.538899150119548\n            ],\n            [\n              -88.71427201193912,\n              29.538899150119548\n            ],\n            [\n              -88.71427201193912,\n              30.126096110029266\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"119","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Joseph W. 0000-0003-2912-1992 jwlong@usgs.gov","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":3303,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","email":"jwlong@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dickhudt, Patrick 0000-0001-8003-7089 pdickhudt@usgs.gov","orcid":"https://orcid.org/0000-0001-8003-7089","contributorId":187402,"corporation":false,"usgs":true,"family":"Dickhudt","given":"Patrick","email":"pdickhudt@usgs.gov","affiliations":[],"preferred":true,"id":865474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872 sdalyander@usgs.gov","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":141015,"corporation":false,"usgs":true,"family":"Dalyander","given":"P.","email":"sdalyander@usgs.gov","middleInitial":"Soupy","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865476,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":865477,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70160091,"text":"70160091 - 2014 - Modeling turbidity type and intensity effects on the growth and starvation mortality of age-0 yellow perch","interactions":[],"lastModifiedDate":"2015-12-11T16:52:18","indexId":"70160091","displayToPublicDate":"2014-06-26T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Modeling turbidity type and intensity effects on the growth and starvation mortality of age-0 yellow perch","docAbstract":"<p>We sought to quantify the possible population-level influence of sediment plumes and algal blooms on yellow perch (Perca flavescens), a visual predator found in systems with dynamic water clarity. We used an individual-based model (IBM), which allowed us to include variance in water clarity and the distribution of individual sizes. Our IBM was built with laboratory data showing that larval yellow perch feeding rates increased slightly as sediment turbidity level increased, but that both larval and juvenile yellow perch feeding rates decreased as phytoplankton level increased. Our IBM explained a majority of the variance in yellow perch length in data from the western and central basins of Lake Erie and Oneida Lake, with R2 values ranging from 0.611 to 0.742. Starvation mortality was size dependent, as the greatest daily mortality rates in each simulation occurred within days of each other. Our model showed that turbidity-dependent consumption rates and temperature are key components in determining growth and starvation mortality of age-0 yellow perch, linking fish production to land-based processes that influence water clarity. These results suggest the timing and persistence of sediment plumes and algal blooms can drastically alter the growth potential and starvation mortality of a yellow perch cohort.</p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2013-0528","collaboration":"University of Toledo; Ohio Department of Natural Resources","usgsCitation":"Manning, N.M., Bossenbroek, J.M., Mayer, C.M., Bunnell, D., Tyson, J.T., Rudstam, L.G., and Jackson, J.R., 2014, Modeling turbidity type and intensity effects on the growth and starvation mortality of age-0 yellow perch: Canadian Journal of Fisheries and Aquatic Sciences, v. 71, no. 10, p. 1544-1553, https://doi.org/10.1139/cjfas-2013-0528.","productDescription":"10 p.","startPage":"1544","endPage":"1553","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049840","costCenters":[{"id":324,"text":"Great Lakes Science 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Yet efforts to identify and regulate specific EDCs in complex mixtures are problematic because little is known about the estrogen activity (estrogenicity) levels of many common and emerging contaminants. The potential effects of EDCs on the water quality and health of biota in streams of the New York City water supply is especially worrisome because more than 150 wastewater-treatment plants (WWTPs) are permitted to discharge effluents into surface waters and groundwaters of watersheds that provide potable water to more than 9 million people. In 2008, the U.S. Geological Survey (USGS), the New York State Department of Environmental Conservation (NYSDEC), New York State Department of Health (NYSDOH), and New York City Department of Environmental Protection (NYCDEP) began a pilot study to increase the understanding of estrogenicity and EDCs in effluents and receiving streams mainly in southeastern New York. The primary goals of this study were to document and assess the spatial and temporal variability of estrogenicity levels; the effectiveness of various treatment-plant types to remove estrogenicity; the concentrations of hormones, EDCs, and pharmaceuticals, personal care products (PPCPs); and the relations between estrogenicity and concentrations of hormones, EDCs, and PPCPs. The levels of estrogenicity and selected hormones, non-hormone EDCs, and PPCPs were characterized in samples collected seasonally in effluents from 7 WWTPs, once or twice in effluents from 34 WWTPs, and once in influents to 6 WWTPs. Estrogenicity was quantified, as estradiol equivalents, using both the biological e-screen assay and a chemical model. Results generally show that (1) estrogenicity levels in effluents varied spatially and seasonally, (2) a wide range of known and unknown EDCs were present in both WWTP effluents and receiving streams, (3) some effluents may be important sources of estrogenicity in weakly diluted streams, (4) measured levels of biological estrogenicity were often higher than estimated levels of chemical estrogenicity, and (5) the type of treatment had a large effect on the removal efficacy, and consequently, the estrogenicity levels observed in treated effluents.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145015","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Baldigo, B.P., Phillips, P., Ernst, A., Gray, J.L., and Hemming, J., 2014, Spatiotemporal variations in estrogenicity, hormones, and endocrine-disrupting compounds in influents and effluents of selected wastewater-treatment plants and receiving streams in New York, 2008-09: U.S. Geological Survey Scientific Investigations Report 2014-5015, Report: iv, 32 p.; Appendixes 1-2, https://doi.org/10.3133/sir20145015.","productDescription":"Report: iv, 32 p.; Appendixes 1-2","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2009-12-31","ipdsId":"IP-040383","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":289048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145015.jpg"},{"id":289046,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5015/"},{"id":289047,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5015/pdf/sir2014-5015.pdf"},{"id":289160,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5015/appendix/appendix1.xlsx"},{"id":289161,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5015/appendix/appendix2.xlsx"}],"projection":"Universal Transverse Mercator projection","country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.0,41.0 ], [ -76.0,45.0 ], [ -72.0,45.0 ], [ -72.0,41.0 ], [ -76.0,41.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53abe155e4b0dad35f8e8ca8","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Patrick J. pjphilli@usgs.gov","contributorId":856,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick J.","email":"pjphilli@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":489250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ernst, Anne G.","contributorId":37825,"corporation":false,"usgs":true,"family":"Ernst","given":"Anne G.","affiliations":[],"preferred":false,"id":489253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":489252,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hemming, Jocelyn","contributorId":98641,"corporation":false,"usgs":true,"family":"Hemming","given":"Jocelyn","email":"","affiliations":[],"preferred":false,"id":489254,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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